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<li>本文将重点分析Dubbo的两个重要特性：泛化调用与泛化实现。<br> 1、泛化引用：<br> <img src="https://img-blog.csdn.net/20181005211034328?watermark/2/text/aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3ByZXN0aWdlZGluZw==/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70" alt="在这里插入图片描述"><br> 通常是服务调用方没有引入API包，也就不包含接口中的实体类，故服务调用方只能提供Map形式的数据，由服务提供者根据Map转化成对应的实体。<br> 2、泛化实现<br> <img src="https://img-blog.csdn.net/20181005211118267?watermark/2/text/aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3ByZXN0aWdlZGluZw==/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70" alt="在这里插入图片描述"><br> 泛化实现，是指服务提供者未引入API包，也就不包含接口用于传输数据的实体类，故客户端发起调用前，需要将mode转化为Map。<br> 从上面分析，其实所谓的泛化本质上就是Map与Bean的转换。</li>
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          <p>本文将详细分析Dubbo服务异步调用与事件回调机制。</p>
<h2 id="1、异步调用与事件回调机制"><a href="#1、异步调用与事件回调机制" class="headerlink" title="1、异步调用与事件回调机制"></a>1、异步调用与事件回调机制</h2><h3 id="1-1-异步回调"><a href="#1-1-异步回调" class="headerlink" title="1.1 异步回调"></a>1.1 异步回调</h3><p><img src="https://img-blog.csdn.net/20180906120834523?watermark/2/text/aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3ByZXN0aWdlZGluZw==/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70" alt="这里写图片描述"><br><img src="https://img-blog.csdn.net/20180906120855286?watermark/2/text/aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3ByZXN0aWdlZGluZw==/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70" alt="这里写图片描述"></p>
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          <p>本文将详细分析&lt; dubbo:service executes=””/&gt;与&lt; dubbo:reference actives = “”/&gt;的实现机制，深入探讨Dubbo自身的保护机制。</p>
<h2 id="1、源码分析ExecuteLimitFilter"><a href="#1、源码分析ExecuteLimitFilter" class="headerlink" title="1、源码分析ExecuteLimitFilter"></a>1、源码分析ExecuteLimitFilter</h2><p>@Activate(group = Constants.PROVIDER, value = Constants.EXECUTES_KEY )</p>
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<li>过滤器作用<br>服务调用方并发度控制。</li>
<li>使用场景<br>对Dubbo服务提供者实现的一种保护机制，控制每个服务的最大并发度。</li>
<li>阻断条件<br>当服务调用超过允许的并发度后，直接抛出RpcException异常。<br>接下来源码分析ExecuteLimitFilter的实现细节。</li>
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          <p>本文将重点剖析服务调用流程，也就是消费端通过网络发起RPC服务调用时，服务提供者是如何进行服务请求响应的。</p>
<h2 id="1、源码分析Dubbo服务调用流程"><a href="#1、源码分析Dubbo服务调用流程" class="headerlink" title="1、源码分析Dubbo服务调用流程"></a>1、源码分析Dubbo服务调用流程</h2><p>了解过Netty网络编程的童鞋们应该知道，netty的命令处理基于ChannelHandler（事件处理链），编码、网络传输、解码、处理等，下面是关于NettyServer的初始化过程，该部分在<a target="_blank" rel="noopener" href="https://blog.csdn.net/prestigeding/article/details/81165691">《源码分析Dubbo网络通信篇NettyServer、HeaderExchangeServer》</a>时已经讲过，本节先做一个简单的回顾：<br><img src="https://img-blog.csdn.net/20180821120924239?watermark/2/text/aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3ByZXN0aWdlZGluZw==/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70" alt="这里写图片描述"></p>
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          <p>Dubbo监控的实现基本原理就是在服务调用时收集服务调用并发度、服务响应时间，然后以一定频率向监控中心汇报统计数据。</p>
<h2 id="1、源码分析MonitorFilter过滤器"><a href="#1、源码分析MonitorFilter过滤器" class="headerlink" title="1、源码分析MonitorFilter过滤器"></a>1、源码分析MonitorFilter过滤器</h2><ul>
<li>过滤器作用<br>监控过滤器，向监控中心汇报服务调用数据。</li>
<li>使用场景<br>搭建监控中心监控Dubbo服务调用。</li>
<li>阻断条件<br>非阻断过滤器。</li>
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          <p> 本文主要分析一下NettyServer，HeaderExchangeServer实现细节。</p>
<h2 id="1、NettyServer"><a href="#1、NettyServer" class="headerlink" title="1、NettyServer"></a>1、NettyServer</h2><p> NettyServer整个类图如下：<br><img src="https://img-blog.csdn.net/20180723120806159?watermark/2/text/aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3ByZXN0aWdlZGluZw==/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70" alt="这里写图片描述"><br> 首先从全貌上大概看一下NettyServer对象所持有的属性：</p>
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          <p>从本节开始将开始深入学习Dubbo网络通讯的底层实现细节，在深入学习Dubbo网络模型时，首先应从整体上了解Dubbo的网络通讯模型、线程模型是怎样的？下图是Dubbo官方给出的线程模型：<br><img src="https://img-blog.csdn.net/20180712121146997?watermark/2/text/aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3ByZXN0aWdlZGluZw==/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70" alt="这里写图片描述"></p>
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          <p>本节将主要学习Dubbo是如何使用Netty来实现网络通讯的。<br>从官网我们得知，Dubbo协议是使用单一长连接来进行网络传输，也就是说服务调用方持久与服务提供者建立一条连接，所有的服务调用调用信息通过。<br>一条TCP连接进行传输，在网络层至少要考虑如下问题：<br>1、服务端，客户端网络通讯模型（线程模型）<br>2、传输（编码解码、序列化）。<br>3、服务端转发策略等。<br>Dubbo服务端的网络启动流程，在上篇中已给出序列图，本节还是以该图为切入点，引入本文的两个主人公：NettyServer、NettyClient。<br><img src="https://img-blog.csdn.net/20180717115949813?watermark/2/text/aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3ByZXN0aWdlZGluZw==/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70" alt="这里写图片描述"></p>
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          <p>本文主要分析Dubbo线程池的构建过程，主要介绍官方文档中有关于ThreadPool的种类：</p>
<ul>
<li>fixed<br>固定大小线程池，启动时建立线程，不关闭，一致持有。（缺省)</li>
<li>cached<br>缓存线程池，空闲一分钟，线程会消费，需要时重新创建新线程。</li>
<li>limited<br>可伸缩线程池，但池中的线程数只会增长不会收缩。</li>
<li>eager<br>优先使用线程来执行新提交任务。（渴望立即执行，而不是进入队列排队执行）。</li>
</ul>
<p>在介绍这各种线程策略之前，先简单回顾一下线程池的基本知识。</p>
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          <p>kryo序列化原理：<br>用过dubbo的开发人员，在选取序列化时都会根据“经验”来选kryo为序列化框，其原因是序列化协议非常高效，超过java原生序列化协议、hessian2协议，那kryo为什么高效呢？<br><strong>序列化协议，所谓的高效，通常应该从两方面考虑：</strong></p>
<ul>
<li>序列化后的二进制序列大小。（核心）</li>
<li>序列化、反序列化的速率。</li>
</ul>
<p>本节将重点探讨，kryo在减少序列化化二进制流上做的努力。</p>
<ul>
<li>序列化：将各种数据类型（基本类型、包装类型、对象、数组、集合）等序列化为byte数组的过程。</li>
<li>反序列化：将byte数组转换为各种数据类型（基本类型、包装类型、对象、数组、集合）。</li>
</ul>
<p>java中定义的数据类型所对应的序列化器在Kryo的构造函数中构造，其代码截图：<br><img src="https://img-blog.csdn.net/20180812195919737?watermark/2/text/aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3ByZXN0aWdlZGluZw==/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70" alt="这里写图片描述"></p>
<p>接下来将详细介绍java常用的数据类型的序列化机制，即Kryo是如何编码二进制流。</p>
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